Datasets:
Tasks:
Text Classification
Languages:
English
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
found
Annotations Creators:
found
Source Datasets:
original
Tags:
License:
albertvillanova
HF staff
Convert dataset sizes from base 2 to base 10 in the dataset card (#4)
faec761
metadata
annotations_creators:
- found
language_creators:
- found
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- multi-class-classification
- topic-classification
pretty_name: GuardianAuthorship
dataset_info:
- config_name: cross_topic_1
features:
- name: author
dtype:
class_label:
names:
'0': catherinebennett
'1': georgemonbiot
'2': hugoyoung
'3': jonathanfreedland
'4': martinkettle
'5': maryriddell
'6': nickcohen
'7': peterpreston
'8': pollytoynbee
'9': royhattersley
'10': simonhoggart
'11': willhutton
'12': zoewilliams
- name: topic
dtype:
class_label:
names:
'0': Politics
'1': Society
'2': UK
'3': World
'4': Books
- name: article
dtype: string
splits:
- name: train
num_bytes: 677054
num_examples: 112
- name: test
num_bytes: 1283126
num_examples: 207
- name: validation
num_bytes: 374390
num_examples: 62
download_size: 3100749
dataset_size: 2334570
- config_name: cross_genre_1
features:
- name: author
dtype:
class_label:
names:
'0': catherinebennett
'1': georgemonbiot
'2': hugoyoung
'3': jonathanfreedland
'4': martinkettle
'5': maryriddell
'6': nickcohen
'7': peterpreston
'8': pollytoynbee
'9': royhattersley
'10': simonhoggart
'11': willhutton
'12': zoewilliams
- name: topic
dtype:
class_label:
names:
'0': Politics
'1': Society
'2': UK
'3': World
'4': Books
- name: article
dtype: string
splits:
- name: train
num_bytes: 406144
num_examples: 63
- name: test
num_bytes: 1657512
num_examples: 269
- name: validation
num_bytes: 677054
num_examples: 112
download_size: 3100749
dataset_size: 2740710
- config_name: cross_topic_2
features:
- name: author
dtype:
class_label:
names:
'0': catherinebennett
'1': georgemonbiot
'2': hugoyoung
'3': jonathanfreedland
'4': martinkettle
'5': maryriddell
'6': nickcohen
'7': peterpreston
'8': pollytoynbee
'9': royhattersley
'10': simonhoggart
'11': willhutton
'12': zoewilliams
- name: topic
dtype:
class_label:
names:
'0': Politics
'1': Society
'2': UK
'3': World
'4': Books
- name: article
dtype: string
splits:
- name: train
num_bytes: 677054
num_examples: 112
- name: test
num_bytes: 1104764
num_examples: 179
- name: validation
num_bytes: 552752
num_examples: 90
download_size: 3100749
dataset_size: 2334570
- config_name: cross_topic_3
features:
- name: author
dtype:
class_label:
names:
'0': catherinebennett
'1': georgemonbiot
'2': hugoyoung
'3': jonathanfreedland
'4': martinkettle
'5': maryriddell
'6': nickcohen
'7': peterpreston
'8': pollytoynbee
'9': royhattersley
'10': simonhoggart
'11': willhutton
'12': zoewilliams
- name: topic
dtype:
class_label:
names:
'0': Politics
'1': Society
'2': UK
'3': World
'4': Books
- name: article
dtype: string
splits:
- name: train
num_bytes: 677054
num_examples: 112
- name: test
num_bytes: 927138
num_examples: 152
- name: validation
num_bytes: 730378
num_examples: 117
download_size: 3100749
dataset_size: 2334570
- config_name: cross_topic_4
features:
- name: author
dtype:
class_label:
names:
'0': catherinebennett
'1': georgemonbiot
'2': hugoyoung
'3': jonathanfreedland
'4': martinkettle
'5': maryriddell
'6': nickcohen
'7': peterpreston
'8': pollytoynbee
'9': royhattersley
'10': simonhoggart
'11': willhutton
'12': zoewilliams
- name: topic
dtype:
class_label:
names:
'0': Politics
'1': Society
'2': UK
'3': World
'4': Books
- name: article
dtype: string
splits:
- name: train
num_bytes: 374390
num_examples: 62
- name: test
num_bytes: 1283126
num_examples: 207
- name: validation
num_bytes: 677054
num_examples: 112
download_size: 3100749
dataset_size: 2334570
- config_name: cross_topic_5
features:
- name: author
dtype:
class_label:
names:
'0': catherinebennett
'1': georgemonbiot
'2': hugoyoung
'3': jonathanfreedland
'4': martinkettle
'5': maryriddell
'6': nickcohen
'7': peterpreston
'8': pollytoynbee
'9': royhattersley
'10': simonhoggart
'11': willhutton
'12': zoewilliams
- name: topic
dtype:
class_label:
names:
'0': Politics
'1': Society
'2': UK
'3': World
'4': Books
- name: article
dtype: string
splits:
- name: train
num_bytes: 374390
num_examples: 62
- name: test
num_bytes: 1407428
num_examples: 229
- name: validation
num_bytes: 552752
num_examples: 90
download_size: 3100749
dataset_size: 2334570
- config_name: cross_topic_6
features:
- name: author
dtype:
class_label:
names:
'0': catherinebennett
'1': georgemonbiot
'2': hugoyoung
'3': jonathanfreedland
'4': martinkettle
'5': maryriddell
'6': nickcohen
'7': peterpreston
'8': pollytoynbee
'9': royhattersley
'10': simonhoggart
'11': willhutton
'12': zoewilliams
- name: topic
dtype:
class_label:
names:
'0': Politics
'1': Society
'2': UK
'3': World
'4': Books
- name: article
dtype: string
splits:
- name: train
num_bytes: 374390
num_examples: 62
- name: test
num_bytes: 1229802
num_examples: 202
- name: validation
num_bytes: 730378
num_examples: 117
download_size: 3100749
dataset_size: 2334570
- config_name: cross_topic_7
features:
- name: author
dtype:
class_label:
names:
'0': catherinebennett
'1': georgemonbiot
'2': hugoyoung
'3': jonathanfreedland
'4': martinkettle
'5': maryriddell
'6': nickcohen
'7': peterpreston
'8': pollytoynbee
'9': royhattersley
'10': simonhoggart
'11': willhutton
'12': zoewilliams
- name: topic
dtype:
class_label:
names:
'0': Politics
'1': Society
'2': UK
'3': World
'4': Books
- name: article
dtype: string
splits:
- name: train
num_bytes: 552752
num_examples: 90
- name: test
num_bytes: 1104764
num_examples: 179
- name: validation
num_bytes: 677054
num_examples: 112
download_size: 3100749
dataset_size: 2334570
- config_name: cross_topic_8
features:
- name: author
dtype:
class_label:
names:
'0': catherinebennett
'1': georgemonbiot
'2': hugoyoung
'3': jonathanfreedland
'4': martinkettle
'5': maryriddell
'6': nickcohen
'7': peterpreston
'8': pollytoynbee
'9': royhattersley
'10': simonhoggart
'11': willhutton
'12': zoewilliams
- name: topic
dtype:
class_label:
names:
'0': Politics
'1': Society
'2': UK
'3': World
'4': Books
- name: article
dtype: string
splits:
- name: train
num_bytes: 552752
num_examples: 90
- name: test
num_bytes: 1407428
num_examples: 229
- name: validation
num_bytes: 374390
num_examples: 62
download_size: 3100749
dataset_size: 2334570
- config_name: cross_topic_9
features:
- name: author
dtype:
class_label:
names:
'0': catherinebennett
'1': georgemonbiot
'2': hugoyoung
'3': jonathanfreedland
'4': martinkettle
'5': maryriddell
'6': nickcohen
'7': peterpreston
'8': pollytoynbee
'9': royhattersley
'10': simonhoggart
'11': willhutton
'12': zoewilliams
- name: topic
dtype:
class_label:
names:
'0': Politics
'1': Society
'2': UK
'3': World
'4': Books
- name: article
dtype: string
splits:
- name: train
num_bytes: 552752
num_examples: 90
- name: test
num_bytes: 1051440
num_examples: 174
- name: validation
num_bytes: 730378
num_examples: 117
download_size: 3100749
dataset_size: 2334570
- config_name: cross_topic_10
features:
- name: author
dtype:
class_label:
names:
'0': catherinebennett
'1': georgemonbiot
'2': hugoyoung
'3': jonathanfreedland
'4': martinkettle
'5': maryriddell
'6': nickcohen
'7': peterpreston
'8': pollytoynbee
'9': royhattersley
'10': simonhoggart
'11': willhutton
'12': zoewilliams
- name: topic
dtype:
class_label:
names:
'0': Politics
'1': Society
'2': UK
'3': World
'4': Books
- name: article
dtype: string
splits:
- name: train
num_bytes: 730378
num_examples: 117
- name: test
num_bytes: 927138
num_examples: 152
- name: validation
num_bytes: 677054
num_examples: 112
download_size: 3100749
dataset_size: 2334570
- config_name: cross_topic_11
features:
- name: author
dtype:
class_label:
names:
'0': catherinebennett
'1': georgemonbiot
'2': hugoyoung
'3': jonathanfreedland
'4': martinkettle
'5': maryriddell
'6': nickcohen
'7': peterpreston
'8': pollytoynbee
'9': royhattersley
'10': simonhoggart
'11': willhutton
'12': zoewilliams
- name: topic
dtype:
class_label:
names:
'0': Politics
'1': Society
'2': UK
'3': World
'4': Books
- name: article
dtype: string
splits:
- name: train
num_bytes: 730378
num_examples: 117
- name: test
num_bytes: 1229802
num_examples: 202
- name: validation
num_bytes: 374390
num_examples: 62
download_size: 3100749
dataset_size: 2334570
- config_name: cross_topic_12
features:
- name: author
dtype:
class_label:
names:
'0': catherinebennett
'1': georgemonbiot
'2': hugoyoung
'3': jonathanfreedland
'4': martinkettle
'5': maryriddell
'6': nickcohen
'7': peterpreston
'8': pollytoynbee
'9': royhattersley
'10': simonhoggart
'11': willhutton
'12': zoewilliams
- name: topic
dtype:
class_label:
names:
'0': Politics
'1': Society
'2': UK
'3': World
'4': Books
- name: article
dtype: string
splits:
- name: train
num_bytes: 730378
num_examples: 117
- name: test
num_bytes: 1051440
num_examples: 174
- name: validation
num_bytes: 552752
num_examples: 90
download_size: 3100749
dataset_size: 2334570
- config_name: cross_genre_2
features:
- name: author
dtype:
class_label:
names:
'0': catherinebennett
'1': georgemonbiot
'2': hugoyoung
'3': jonathanfreedland
'4': martinkettle
'5': maryriddell
'6': nickcohen
'7': peterpreston
'8': pollytoynbee
'9': royhattersley
'10': simonhoggart
'11': willhutton
'12': zoewilliams
- name: topic
dtype:
class_label:
names:
'0': Politics
'1': Society
'2': UK
'3': World
'4': Books
- name: article
dtype: string
splits:
- name: train
num_bytes: 406144
num_examples: 63
- name: test
num_bytes: 1960176
num_examples: 319
- name: validation
num_bytes: 374390
num_examples: 62
download_size: 3100749
dataset_size: 2740710
- config_name: cross_genre_3
features:
- name: author
dtype:
class_label:
names:
'0': catherinebennett
'1': georgemonbiot
'2': hugoyoung
'3': jonathanfreedland
'4': martinkettle
'5': maryriddell
'6': nickcohen
'7': peterpreston
'8': pollytoynbee
'9': royhattersley
'10': simonhoggart
'11': willhutton
'12': zoewilliams
- name: topic
dtype:
class_label:
names:
'0': Politics
'1': Society
'2': UK
'3': World
'4': Books
- name: article
dtype: string
splits:
- name: train
num_bytes: 406144
num_examples: 63
- name: test
num_bytes: 1781814
num_examples: 291
- name: validation
num_bytes: 552752
num_examples: 90
download_size: 3100749
dataset_size: 2740710
- config_name: cross_genre_4
features:
- name: author
dtype:
class_label:
names:
'0': catherinebennett
'1': georgemonbiot
'2': hugoyoung
'3': jonathanfreedland
'4': martinkettle
'5': maryriddell
'6': nickcohen
'7': peterpreston
'8': pollytoynbee
'9': royhattersley
'10': simonhoggart
'11': willhutton
'12': zoewilliams
- name: topic
dtype:
class_label:
names:
'0': Politics
'1': Society
'2': UK
'3': World
'4': Books
- name: article
dtype: string
splits:
- name: train
num_bytes: 406144
num_examples: 63
- name: test
num_bytes: 1604188
num_examples: 264
- name: validation
num_bytes: 730378
num_examples: 117
download_size: 3100749
dataset_size: 2740710
Dataset Card for "guardian_authorship"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: http://www.icsd.aegean.gr/lecturers/stamatatos/papers/JLP2013.pdf
- Repository: More Information Needed
- Paper: More Information Needed
- Point of Contact: More Information Needed
- Size of downloaded dataset files: 49.61 MB
- Size of the generated dataset: 38.98 MB
- Total amount of disk used: 88.59 MB
Dataset Summary
A dataset cross-topic authorship attribution. The dataset is provided by Stamatatos 2013. 1- The cross-topic scenarios are based on Table-4 in Stamatatos 2017 (Ex. cross_topic_1 => row 1:P S U&W ). 2- The cross-genre scenarios are based on Table-5 in the same paper. (Ex. cross_genre_1 => row 1:B P S&U&W).
3- The same-topic/genre scenario is created by grouping all the datasts as follows. For ex., to use same_topic and split the data 60-40 use: train_ds = load_dataset('guardian_authorship', name="cross_topic_<<#>>", split='train[:60%]+validation[:60%]+test[:60%]') tests_ds = load_dataset('guardian_authorship', name="cross_topic_<<#>>", split='train[-40%:]+validation[-40%:]+test[-40%:]')
IMPORTANT: train+validation+test[:60%] will generate the wrong splits because the data is imbalanced
- See https://huggingface.co/docs/datasets/splits.html for detailed/more examples
Supported Tasks and Leaderboards
Languages
Dataset Structure
Data Instances
cross_genre_1
- Size of downloaded dataset files: 3.10 MB
- Size of the generated dataset: 2.74 MB
- Total amount of disk used: 5.84 MB
An example of 'train' looks as follows.
{
"article": "File 1a\n",
"author": 0,
"topic": 4
}
cross_genre_2
- Size of downloaded dataset files: 3.10 MB
- Size of the generated dataset: 2.74 MB
- Total amount of disk used: 5.84 MB
An example of 'validation' looks as follows.
{
"article": "File 1a\n",
"author": 0,
"topic": 1
}
cross_genre_3
- Size of downloaded dataset files: 3.10 MB
- Size of the generated dataset: 2.74 MB
- Total amount of disk used: 5.84 MB
An example of 'validation' looks as follows.
{
"article": "File 1a\n",
"author": 0,
"topic": 2
}
cross_genre_4
- Size of downloaded dataset files: 3.10 MB
- Size of the generated dataset: 2.74 MB
- Total amount of disk used: 5.84 MB
An example of 'validation' looks as follows.
{
"article": "File 1a\n",
"author": 0,
"topic": 3
}
cross_topic_1
- Size of downloaded dataset files: 3.10 MB
- Size of the generated dataset: 2.34 MB
- Total amount of disk used: 5.43 MB
An example of 'validation' looks as follows.
{
"article": "File 1a\n",
"author": 0,
"topic": 1
}
Data Fields
The data fields are the same among all splits.
cross_genre_1
author: a classification label, with possible values includingcatherinebennett(0),georgemonbiot(1),hugoyoung(2),jonathanfreedland(3),martinkettle(4).topic: a classification label, with possible values includingPolitics(0),Society(1),UK(2),World(3),Books(4).article: astringfeature.
cross_genre_2
author: a classification label, with possible values includingcatherinebennett(0),georgemonbiot(1),hugoyoung(2),jonathanfreedland(3),martinkettle(4).topic: a classification label, with possible values includingPolitics(0),Society(1),UK(2),World(3),Books(4).article: astringfeature.
cross_genre_3
author: a classification label, with possible values includingcatherinebennett(0),georgemonbiot(1),hugoyoung(2),jonathanfreedland(3),martinkettle(4).topic: a classification label, with possible values includingPolitics(0),Society(1),UK(2),World(3),Books(4).article: astringfeature.
cross_genre_4
author: a classification label, with possible values includingcatherinebennett(0),georgemonbiot(1),hugoyoung(2),jonathanfreedland(3),martinkettle(4).topic: a classification label, with possible values includingPolitics(0),Society(1),UK(2),World(3),Books(4).article: astringfeature.
cross_topic_1
author: a classification label, with possible values includingcatherinebennett(0),georgemonbiot(1),hugoyoung(2),jonathanfreedland(3),martinkettle(4).topic: a classification label, with possible values includingPolitics(0),Society(1),UK(2),World(3),Books(4).article: astringfeature.
Data Splits
| name | train | validation | test |
|---|---|---|---|
| cross_genre_1 | 63 | 112 | 269 |
| cross_genre_2 | 63 | 62 | 319 |
| cross_genre_3 | 63 | 90 | 291 |
| cross_genre_4 | 63 | 117 | 264 |
| cross_topic_1 | 112 | 62 | 207 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
Citation Information
@article{article,
author = {Stamatatos, Efstathios},
year = {2013},
month = {01},
pages = {421-439},
title = {On the robustness of authorship attribution based on character n-gram features},
volume = {21},
journal = {Journal of Law and Policy}
}
@inproceedings{stamatatos2017authorship,
title={Authorship attribution using text distortion},
author={Stamatatos, Efstathios},
booktitle={Proc. of the 15th Conf. of the European Chapter of the Association for Computational Linguistics},
volume={1}
pages={1138--1149},
year={2017}
}
Contributions
Thanks to @thomwolf, @eltoto1219, @malikaltakrori for adding this dataset.